Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis

Fluid discrimination is an extremely important part of seismic data interpretation. It plays an important role in the refined description of hydrocarbon-bearing reservoirs. The conventional AVO inversion based on Zoeppritz’s equation shows potential in lithology prediction and fluid discrimination;...

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Main Authors: Pu Wang, Jingye Li, Xiaohong Chen, Kedong Wang, Benfeng Wang
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2019/8750127
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spelling doaj-8597847592344e48aa555cc3ef891d8e2020-11-25T01:49:18ZengHindawi-WileyGeofluids1468-81151468-81232019-01-01201910.1155/2019/87501278750127Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity AnalysisPu Wang0Jingye Li1Xiaohong Chen2Kedong Wang3Benfeng Wang4State Key Laboratory of Petroleum Resources and Prospecting, National Engineering Laboratory for Offshore Oil Exploration, China University of Petroleum-Beijing, Beijing 102249, ChinaState Key Laboratory of Petroleum Resources and Prospecting, National Engineering Laboratory for Offshore Oil Exploration, China University of Petroleum-Beijing, Beijing 102249, ChinaState Key Laboratory of Petroleum Resources and Prospecting, National Engineering Laboratory for Offshore Oil Exploration, China University of Petroleum-Beijing, Beijing 102249, ChinaState Key Laboratory of Petroleum Resources and Prospecting, National Engineering Laboratory for Offshore Oil Exploration, China University of Petroleum-Beijing, Beijing 102249, ChinaTongji University, State Key Laboratory of Marine Geology, School of Ocean and Earth Science, Institute for Advanced Study, Shanghai 200092, ChinaFluid discrimination is an extremely important part of seismic data interpretation. It plays an important role in the refined description of hydrocarbon-bearing reservoirs. The conventional AVO inversion based on Zoeppritz’s equation shows potential in lithology prediction and fluid discrimination; however, the dispersion and attenuation induced by pore fluid are not fully considered. The relationship between dispersion terms in different frequency-dependent AVO equations has not yet been discussed. Following the arguments of Chapman, the influence of pore fluid on elastic parameters is analyzed in detail. We find that the dispersion and attenuation of Russell fluid factor, Lamé parameter, and bulk modulus are more pronounced than those of P-wave modulus. The Russell fluid factor is most prominent among them. Based on frequency-dependent AVO inversion, the uniform expression of different dispersion terms of these parameters is derived. Then, incorporating the P-wave difference with the dispersion terms, we obtain new P-wave difference dispersion factors which can identify the gas-bearing reservoir location better compared with the dispersion terms. Field data application also shows that the dispersion term of Russell fluid factor is optimal in identifying fluid. However, the dispersion term of Russell fluid factor could be unsatisfactory, if the value of the weighting parameter associated with dry rock is improper. Then, this parameter is studied to propose a reasonable setting range. The results given by this paper are helpful for the fluid discrimination in hydrocarbon-bearing rocks.http://dx.doi.org/10.1155/2019/8750127
collection DOAJ
language English
format Article
sources DOAJ
author Pu Wang
Jingye Li
Xiaohong Chen
Kedong Wang
Benfeng Wang
spellingShingle Pu Wang
Jingye Li
Xiaohong Chen
Kedong Wang
Benfeng Wang
Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis
Geofluids
author_facet Pu Wang
Jingye Li
Xiaohong Chen
Kedong Wang
Benfeng Wang
author_sort Pu Wang
title Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis
title_short Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis
title_full Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis
title_fullStr Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis
title_full_unstemmed Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis
title_sort fluid discrimination based on frequency-dependent avo inversion with the elastic parameter sensitivity analysis
publisher Hindawi-Wiley
series Geofluids
issn 1468-8115
1468-8123
publishDate 2019-01-01
description Fluid discrimination is an extremely important part of seismic data interpretation. It plays an important role in the refined description of hydrocarbon-bearing reservoirs. The conventional AVO inversion based on Zoeppritz’s equation shows potential in lithology prediction and fluid discrimination; however, the dispersion and attenuation induced by pore fluid are not fully considered. The relationship between dispersion terms in different frequency-dependent AVO equations has not yet been discussed. Following the arguments of Chapman, the influence of pore fluid on elastic parameters is analyzed in detail. We find that the dispersion and attenuation of Russell fluid factor, Lamé parameter, and bulk modulus are more pronounced than those of P-wave modulus. The Russell fluid factor is most prominent among them. Based on frequency-dependent AVO inversion, the uniform expression of different dispersion terms of these parameters is derived. Then, incorporating the P-wave difference with the dispersion terms, we obtain new P-wave difference dispersion factors which can identify the gas-bearing reservoir location better compared with the dispersion terms. Field data application also shows that the dispersion term of Russell fluid factor is optimal in identifying fluid. However, the dispersion term of Russell fluid factor could be unsatisfactory, if the value of the weighting parameter associated with dry rock is improper. Then, this parameter is studied to propose a reasonable setting range. The results given by this paper are helpful for the fluid discrimination in hydrocarbon-bearing rocks.
url http://dx.doi.org/10.1155/2019/8750127
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AT jingyeli fluiddiscriminationbasedonfrequencydependentavoinversionwiththeelasticparametersensitivityanalysis
AT xiaohongchen fluiddiscriminationbasedonfrequencydependentavoinversionwiththeelasticparametersensitivityanalysis
AT kedongwang fluiddiscriminationbasedonfrequencydependentavoinversionwiththeelasticparametersensitivityanalysis
AT benfengwang fluiddiscriminationbasedonfrequencydependentavoinversionwiththeelasticparametersensitivityanalysis
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